#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
Date: 2021/12/19 13:09
Desc: 东方财富网-数据中心-主力数据-基金持仓
http://data.eastmoney.com/zlsj/2020-06-30-1-2.html
"""
import pandas as pd
import requests

from akshare.utils import demjson


def stock_report_fund_hold(symbol: str = "基金持仓", date: str = "20210331") -> pd.DataFrame:
    """
    东方财富网-数据中心-主力数据-基金持仓
    http://data.eastmoney.com/zlsj/2020-12-31-1-2.html
    :param symbol: choice of {"基金持仓", "QFII持仓", "社保持仓", "券商持仓", "保险持仓", "信托持仓"}
    :type symbol: str
    :param date: 财报发布日期, xxxx-03-31, xxxx-06-30, xxxx-09-30, xxxx-12-31
    :type date: str
    :return: 基金持仓数据
    :rtype: pandas.DataFrame
    """
    symbol_map = {
        "基金持仓": "1",
        "QFII持仓": "2",
        "社保持仓": "3",
        "券商持仓": "4",
        "保险持仓": "5",
        "信托持仓": "6",
    }
    date = "-".join([date[:4], date[4:6], date[6:]])
    url = "http://data.eastmoney.com/dataapi/zlsj/list"
    params = {
        "date": date,
        "type": symbol_map[symbol],
        "zjc": "0",
        "sortField": "HOULD_NUM",
        "sortDirec": "1",
        "pageNum": "1",
        "pageSize": "500",
        "p": "1",
        "pageNo": "1",
    }
    r = requests.get(url, params=params)
    data_json = r.json()
    total_page = data_json['pages']
    big_df = pd.DataFrame()
    for page in range(1, total_page+1):
        params = {
            "date": date,
            "type": symbol_map[symbol],
            "zjc": "0",
            "sortField": "HOULD_NUM",
            "sortDirec": "1",
            "pageNum": page,
            "pageSize": "500",
            "p": page,
            "pageNo": page,
        }
        r = requests.get(url, params=params)
        data_json = r.json()
        temp_df = pd.DataFrame(data_json["data"])
        big_df = big_df.append(temp_df, ignore_index=True)
    big_df.reset_index(inplace=True)
    big_df["index"] = list(range(1, len(big_df)+1))
    big_df.columns = [
        "序号",
        "_",
        "股票简称",
        "_",
        "_",
        "持有基金家数",
        "持股总数",
        "持股市值",
        "_",
        "持股变化",
        "持股变动数值",
        "持股变动比例",
        "_",
        "_",
        "_",
        "_",
        "_",
        "_",
        "_",
        "_",
        "股票代码",
        "_",
        "_",
    ]
    big_df = big_df[[
        "序号",
        "股票代码",
        "股票简称",
        "持有基金家数",
        "持股总数",
        "持股市值",
        "持股变化",
        "持股变动数值",
        "持股变动比例",
    ]]
    return big_df


def stock_report_fund_hold_detail(symbol: str = "005827", date: str = "20201231") -> pd.DataFrame:
    """
    东方财富网-数据中心-主力数据-基金持仓-明细
    http://data.eastmoney.com/zlsj/ccjj/2020-12-31-008286.html
    :param symbol: 基金代码
    :type symbol: str
    :param date: 财报发布日期, xxxx-03-31, xxxx-06-30, xxxx-09-30, xxxx-12-31
    :type date: str
    :return: 基金持仓-明细数据
    :rtype: pandas.DataFrame
    """
    date = "-".join([date[:4], date[4:6], date[6:]])
    url = "http://datainterface3.eastmoney.com/EM_DataCenter_V3/api/ZLCCMX/GetZLCCMX"
    params = {
        "js": "datatable8848106",
        "tkn": "eastmoney",
        "SHType": "1",
        "SHCode": symbol,
        "SCode": "",
        "ReportDate": date,
        "sortField": "SCode",
        "sortDirec": "1",
        "pageNum": "1",
        "pageSize": "500",
        "cfg": "ZLCCMX",
        "_": "1611579153269",
    }
    r = requests.get(url, params=params)
    data_text = r.text
    data_json = demjson.decode(data_text[data_text.find("{"):-1])
    temp_df = pd.DataFrame(data_json["Data"][0])
    temp_df = temp_df["Data"].str.split("|", expand=True)
    temp_df.reset_index(inplace=True)
    temp_df["index"] = range(1, len(temp_df)+1)
    temp_df.columns = [
        "序号",
        "股票代码",
        "股票简称",
        "_",
        "_",
        "_",
        "_",
        "_",
        "_",
        "_",
        "持股数",
        "持股市值",
        "占总股本比例",
        "占流通股本比例",
    ]
    temp_df = temp_df[[
        "序号",
        "股票代码",
        "股票简称",
        "持股数",
        "持股市值",
        "占总股本比例",
        "占流通股本比例",
    ]]
    return temp_df


if __name__ == "__main__":
    stock_report_fund_hold_df = stock_report_fund_hold(symbol="基金持仓", date="20200630")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_df = stock_report_fund_hold(symbol="QFII持仓", date="20210331")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_df = stock_report_fund_hold(symbol="社保持仓", date="20210331")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_df = stock_report_fund_hold(symbol="券商持仓", date="20210331")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_df = stock_report_fund_hold(symbol="保险持仓", date="20210331")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_df = stock_report_fund_hold(symbol="信托持仓", date="20210331")
    print(stock_report_fund_hold_df)

    stock_report_fund_hold_detail_df = stock_report_fund_hold_detail(symbol="005827", date="20210331")
    print(stock_report_fund_hold_detail_df)
